V
Valeria-Ersilia Oniga
Publications - 6
Citations - 124
Valeria-Ersilia Oniga is an academic researcher. The author has contributed to research in topics: Point cloud & Computer science. The author has an hindex of 3, co-authored 3 publications receiving 74 citations.
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Determining the Optimum Number of Ground Control Points for Obtaining High Precision Results Based on UAS Images
TL;DR: The results expressed a clear overview of the number of GCPs needed for the indirect georeferencing process with minimum influence on the final results.
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Determining the Suitable Number of Ground Control Points for UAS Images Georeferencing by Varying Number and Spatial Distribution
TL;DR: The aim of this study is to find the suitable number of GCPs to derive high precision results and what is the effect of G CPs systematic or stratified random distribution on the accuracy of the georeferencing process and the final products, respectively.
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3D Calibration Test-Field for Digital Cameras Mounted on Unmanned Aerial Systems (UAS)
TL;DR: The objective of establishing a 3D calibration field for the digital cameras mounted on UASs in terms of accuracy and robustness is established, being the largest reported publication to date.
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3D Modeling of Urban Area Based on Oblique UAS Images - An End-to-End Pipeline
TL;DR: This paper’s aim is to provide an end-to-end pipeline for 3D building modeling based on oblique UAS images only, the result being a parametrized 3D model with the Open Geospatial Consortium (OGC) CityGML standard, Level of Detail 2 (LOD2).
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Proposed Methodology for Accuracy Improvement of LOD1 3D Building Models Created Based on Stereo Pléiades Satellite Imagery
Ana-Ioana Breaban,Valeria-Ersilia Oniga,Costel Chirila,Ana-Maria Loghin,Norbert Pfeifer,Mihaela Macovei,Alina Mihaela Nicuta Precul +6 more
TL;DR: In this article , the authors presented a new methodology for point cloud accuracy improvement to generate terrain topographic models and 3D building modeling with the Open Geospatial Consortium (OGC) CityGML standard, level of detail 1 (LOD1), using very high-resolution (VHR) satellite images.